Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-04
K
Research Areas
Biography and Research Information
OverviewAI-generated summary
K.E. ArunKumar's research focuses on the application of machine learning techniques for predictive modeling. Their recent publication details the use of GPBoost, MLOps, and Flask to predict deployable DMI, notably without requiring exact birth dates. This work is situated within the context of the Arkansas Agricultural Experiment Station.
Metrics
- Publications: 1
Selected Publications
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Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates (2026)
Collaboration Network
Top Collaborators
Nathan Blake
Arkansas Agricultural Experiment Station (US)
1 shared publication
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Matthew Walker
University of California Division of Agriculture and Natural Resources (US)
1 shared publication
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Tylor J Yost
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Domingo Mata-Padrino
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Ida Holásková
1 shared publication
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Jarred W. Yates
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Samanthia Johnson
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Godstime Taiwo
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Modoluwamu Idowu
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Ibukun Ogunade
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Joseph Hatton
West Virginia Department of Agriculture (US)
1 shared publication
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
Matthew E. Wilson
Arkansas Agricultural Experiment Station
1 shared publication
In database
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
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